Pages that link to "Item:Q4515532"

The following pages link to Practical Maximum Pseudolikelihood for Spatial Point Patterns (Q4515532):

Displaying 50 items.

• Variational estimators for the parameters of Gibbs point process models (Q358135) (← links)
• Variational approach for spatial point process intensity estimation (Q395994) (← links)
• Identification and estimation of superposed Neyman-Scott spatial cluster processes (Q457277) (← links)
• Estimating second-order characteristics of inhomogeneous spatio-temporal point processes (Q479151) (← links)
• A Bayesian approach to fitting Gibbs processes with temporal random effects (Q484712) (← links)
• Bayesian modeling on continuously marked spatial point patterns (Q626215) (← links)
• Spatial analysis of auto-multivariate lattice data (Q657081) (← links)
• A fast spectral quasi-likelihood approach for spatial point processes (Q680476) (← links)
• A model for estimating point sources in spatial data (Q713726) (← links)
• Efficient modelling of presence-only species data via local background sampling (Q782727) (← links)
• A network flow approach in finding maximum likelihood estimate of high concentration regions (Q956897) (← links)
• Bayesian inference for spatially inhomogeneous pairwise interacting point processes (Q957172) (← links)
• Approximate methods in Bayesian point process spatial models (Q961716) (← links)
• The analysis of marked point patterns evolving through space and time (Q1010520) (← links)
• Likelihood analysis of spatial inhomogeneity for marked point patterns (Q1118327) (← links)
• Pseudolikelihood for exponential family models of spatial point processes (Q1175969) (← links)
• Generalized pseudo-likelihood estimates for Markov random fields on lattice (Q1610922) (← links)
• Estimation of spatial processes using local scoring rules: spatial special issue (Q1621234) (← links)
• Bayesian analysis of a Gibbs hard-core point pattern model with varying repulsion range (Q1621330) (← links)
• Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology (Q1622175) (← links)
• Penalized composite likelihoods for inhomogeneous Gibbs point process models (Q1662861) (← links)
• Variable selection for spatial Poisson point processes via a regularization method (Q1731184) (← links)
• Convex and non-convex regularization methods for spatial point processes intensity estimation (Q1746561) (← links)
• An empirical study of tests for uniformity in multidimensional data (Q1800094) (← links)
• Asymptotic Palm likelihood theory for stationary point processes (Q1934484) (← links)
• A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) (Q1939998) (← links)
• Asymptotic properties of the maximum pseudo-likelihood estimator for stationary Gibbs point processes including the Lennard-Jones model (Q1952078) (← links)
• Spatial logistic regression and change-of-support in Poisson point processes (Q1952095) (← links)
• A random persistence diagram generator (Q2084325) (← links)
• Local spatial log-Gaussian Cox processes for seismic data (Q2106831) (← links)
• Modeling wildfire ignition origins in southern California using linear network point processes (Q2179971) (← links)
• Voronoi residual analysis of spatial point process models with applications to California earthquake forecasts (Q2258576) (← links)
• Planar segment processes with reference mark distributions, modeling and estimation (Q2283664) (← links)
• Cauchy cluster process (Q2392725) (← links)
• Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes (Q2426834) (← links)
• A marked point process perspective in fitting spatial point process models (Q2427166) (← links)
• Finite-sample equivalence in statistical models for presence-only data (Q2441833) (← links)
• Leveraging high-resolution weather information to predict hail damage claims: a spatial point process for replicated point patterns (Q2682985) (← links)
• Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (Q2686054) (← links)
• Fast covariance estimation for innovations computed from a spatial Gibbs point process (Q2868860) (← links)
• Logistic regression for spatial Gibbs point processes (Q2874951) (← links)
• A combined estimating function approach for fitting stationary point process models (Q2874952) (← links)
• Residual analysis for inhomogeneous Neyman-Scott processes (Q2911688) (← links)
• Takacs-Fiksel method for stationary marked Gibbs point processes (Q2914944) (← links)
• Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes (Q3100796) (← links)
• Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology (Q3145557) (← links)
• Semiparametric modelling of spatial binary observations (Q3153692) (← links)
• Nonparametric Measures of Association between a Spatial Point Process and a Random Set, with Geological Applications (Q3435701) (← links)
• A Model-Based Approach for Making Ecological Inference from Distance Sampling Data (Q3564589) (← links)
• Partial-Likelihood Analysis of Spatio-Temporal Point-Process Data (Q3576908) (← links)